Manager Data Engineer

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Skills you'll use

What you'll do

• Leadership & Team Management
• Lead and mentor a data engineering team, ensuring high technical and delivery standards.
• Manage team capacity, delegation, sprint/user story assignments, and backlog prioritization.
• Provide technical coaching, code reviews, and guidance to engineers and senior specialists.
• Drive adoption of AI agents and AI-assisted development/documentation across the team.
• Deliver regular status updates, including weekly burndown and progress reporting.
• Data Engineering & Architecture
• Design, develop, and maintain scalable data pipelines, ETL workflows, and data architecture.
• Build programs for data ingestion, transformation, validation, and integration.
• Support migration of legacy/on-prem data systems to cloud data platforms.

Who can apply

• Big Data Engineering / Data Platform Management
• Python for ETL, orchestration, and automation
• Advanced SQL development and performance tuning
• ETL development and orchestration
• Database development (Oracle, MySQL, PostgreSQL, SQL Server)
• UNIX / Shell scripting
• JSON / API-based integrations
• Master Data Management (MDM)
• Cloud platforms (Azure preferred)
• Data migration to cloud platforms

About Amadeus

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